Overview
- Skill Key
- atlaspa/openclaw-memory
- Author
- atlaspa
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/atlaspa/openclaw-memory
- Latest Commit SHA
- 7b698369c7f3d9f609b3dddaef808cfeeb2dc6e1
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 openclaw-memory 技能。 若已安装,则直接安装 openclaw-memory 技能。
# OpenClaw Memory System **Persistent memory across sessions with semantic search and x402 payments.** ## What is it? The first OpenClaw skill that gives your agents **persistent memory** - they remember facts, preferences, patterns, and conversation history across all sessions. Never repeat context again. ## Key Features - 🧠 **Persistent Memory** - Remembers everything across sessions - 🔍 **Semantic Search** - Find memories by meaning, not just keywords - 🤖 **Automatic Learning** - Extracts facts and preferences automatically - 💾 **Local Storage** - SQLite database with vector embeddings - 💰 **x402 Payments** - Agents can pay for unlimited storage (0.5 USDT/month) ## Free vs Pro Tier **Free Tier:** - 100 memories maximum - 7-day retention - Basic semantic search **Pro Tier (0.5 USDT/month):** - Unlimited memories - Permanent retention - Advanced semantic search - Memory relationship mapping ## Installation ```bash claw skill install openclaw-memory ``` ## Commands ```bash # Search memories claw memory search "What does user prefer?" # List recent memories claw memory list --limit=10 # Show stats claw memory stats # Open dashboard claw memory dashboard # Subscribe to Pro claw memory subscribe ``` ## How It Works 1. **Hooks into requests** - Automatically extracts important information 2. **Generates embeddings** - Creates semantic vectors for search 3. **Stores locally** - SQLite database with full privacy 4. **Retrieves on demand** - Injects relevant memories before requests 5. **Manages quota** - Prunes old memories when limits reached (Free tier) ## Use Cases - Remember user preferences and coding style - Store project context and requirements - Learn patterns from repeated interactions - Maintain conversation history across sessions - Build knowledge base over time ## Agent Economy Agents can autonomously evaluate if Pro tier is worth it: - **Cost:** 0.5 USDT/mont...
# OpenClaw Memory System **The first OpenClaw tool with persistent memory across sessions + x402 agent payments.** Stop repeating context every session. Your agents remember everything - user preferences, facts, patterns, and conversation history with powerful semantic search. 🤖 **First memory system enabling agent autonomy** - agents can pay 0.5 USDT/month for unlimited storage. [Agent Payments →](AGENT-PAYMENTS.md) ## The Problem OpenClaw users are experiencing: - 🔄 **Context reset every session** - agents forget everything - 📝 **Repeating preferences** - "I told you I prefer Python last time!" - 🧠 **No knowledge retention** - valuable insights lost between sessions - 💰 **Wasted tokens** - re-explaining context costs money - 📊 **No pattern learning** - agents can't improve from past interactions ## The Solution **Persistent memory with semantic search that works across all sessions.** ## Features - ✅ **Persistent Memory** - Never repeat context again - ✅ **Semantic Search** - Find relevant memories by meaning, not just keywords - ✅ **Automatic Learning** - Extracts facts, preferences, and patterns from conversations - ✅ **Smart Retrieval** - Injects relevant memories before each request - ✅ **Quota Management** - Free tier (100 memories, 7 days) + Pro tier (unlimited) - ✅ **Memory Types** - Facts, preferences, patterns, conversations - ✅ **Web Dashboard** - Beautiful interface to browse and search memories - ✅ **CLI Interface** - Full control from command line - 🤖 **x402 Agent Payments** - Agents can autonomously pay for Pro tier (0.5 USDT/month) ## Why Memory System? **The ONLY OpenClaw tool that provides persistent memory with x402 payments.** | Feature | Memory System | Custom Context | Manual Notes | Vector DB Tools | |---------|---------------|----------------|--------------|-----------------| | Automatic Extraction | ✅ | ❌ | ❌ | ❌ | | Semantic Search | ✅ | ❌ | ❌ | ✅ | | Persistent St...
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